Model reference · open weights

rubert-cased

rubert-cased is an open-weight embedding model from DeepPavlov, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Licence fee required Embeddings DeepPavlov 1 variants 186k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What rubert-cased is

rubert-base-cased RuBERT \(Russian, cased, 12‑layer, 768‑hidden, 12‑heads, 180M parameters\) was trained on the Russian part of Wikipedia and news data. We used this training data to build a vocabulary of Russian subtokens and took a multilingual version of BERT‑base as an initialization for RuBERT\[1\]. 08.11.2021: upload model with MLM and NSP heads \[1\]: Kuratov, Y., Arkhipov, M. \(2019\). Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language. arXiv preprint arXiv:1905.07213.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

MakerDeepPavlov
TypeEmbedding models
Context512 tokens
Variants1
Runs withtransformers
Released2022-03-02
Popularity186k downloads / month
Likes134
LicenceCommercial licence needed

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together — the basis of search and RAG.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
rubert-base-casedBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys rubert-cased for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (rubert-cased below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"rubert-cased","input":"text to embed"}'

Details

Languages, data & research

Languages

ru

Tags

transformers pytorch jax bert feature-extraction ru endpoints_compatible deploy:azure

Papers

Licence

Commercial licence needed

The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗

Sources

Weights & code

Want rubert-cased on EU-owned hardware?

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